1 citations · 1 across the 4 of their papers we have counts for
4 papers
Enhancing IoT Network Security through Adaptive Curriculum Learning and XAI
Sathwik Narkedimilli, Sujith Makam, Amballa Venkata Sriram +3
To address the critical need for secure IoT networks, this study presents a scalable and lightweight curriculum learning framework enhanced with Explainable AI (XAI) techniques, in…
FAPL-DM-BC: A Secure and Scalable FL Framework with Adaptive Privacy and Dynamic Masking, Blockchain, and XAI for the IoVs
Sathwik Narkedimilli, Amballa Venkata Sriram, Sujith Makam +2
The FAPL-DM-BC solution is a new FL-based privacy, security, and scalability solution for the Internet of Vehicles (IoV). It leverages Federated Adaptive Privacy-Aware Learning (FA…
Photometric Analysis for Predicting Star Formation Rates in Large Galaxies Using Machine Learning and Deep Learning Techniques
Satvik Raghav, Prasanth Ayitapu, Sathwik Narkedimilli +2
Star formation rates (SFRs) are a crucial observational tracer of galaxy formation and evolution. Spectroscopy, which is expensive, is traditionally used to estimate SFRs. This stu…
Predicting Stellar Metallicity: A Comparative Analysis of Regression Models for Solar Twin Stars
Sathwik Narkedimilli, Satvik Raghav, Sujith Makam +2
The research focuses on determining the metallicity ([Fe/H]) predicted in the solar twin stars by using various regression modeling techniques which are, Random Forest, Linear Regr…